One Factor Designs

One factor designs, also called "one factor at a time" (OFAT) or one-way analysis of variance (ANOVA), are used to determine if a particular factor has an effect on an output or response. This approach allows you to take a detailed look at the effect of the factor (using up to 255 levels), and it helps you determine whether a change in output is due to a change in the input (level) instead of random error.

The factor in a one factor design must be configured as a qualitative factor. For this reason, predictions cannot be made for factor levels that are not tested, nor can one factor designs be used for optimization.

Note: A one factor design is appropriate for planning an experiment involving a single factor. If you already have existing data that you want to examine, the one-way ANOVA folio offers this capability.

For more information about how to use the design types, please consult the documentation on design folios.